Description Usage Arguments References See Also
Tversky and Kahneman's (1992) probability weighting function is given by
w(p) = p^alpha / ((p^alpha + (1 - p)^alpha)^(1/alpha))
where p is the probability constrained by
w(0) = 0, w(1) = 1, 0 < p < 1,
and alpha is the single parameter for the function. alpha >= 0.28 as the function is not strictly increasing for alpha < 0.28.
1 |
par |
vector, contains the alpha parameter for the pwf |
p |
numeric, the probability |
Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297-323.
p. 206, Wakker, P. P. (2010). Prospect theory: For risk and ambiguity. Cambridge, UK: Cambridge University Press.
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